Package: eirm Type: Package Title: Explanatory Item Response Modeling for Dichotomous and Polytomous Items Version: 0.5 Authors@R: person("Okan", "Bulut", email = "bulut@ualberta.ca", role = c("aut", "cre"), comment = c(ORCID="0000-0001-5853-1267")) Maintainer: Okan Bulut URL: https://github.com/okanbulut/eirm Description: Analysis of dichotomous and polytomous response data using the explanatory item response modeling framework, as described in Bulut, Gorgun, & Yildirim-Erbasli (2021) , Stanke & Bulut (2019) , and De Boeck & Wilson (2004) . Generalized linear mixed modeling is used for estimating the effects of item-related and person-related variables on dichotomous and polytomous item responses. Depends: lme4, blme, reshape2, optimx Imports: magrittr, shiny, shinydashboard, shinycssloaders, readxl, ggeffects, ggplot2 Suggests: knitr, rmarkdown VignetteBuilder: knitr License: GPL (>= 3) Encoding: UTF-8 LazyData: true RoxygenNote: 7.1.1 Config/pak/sysreqs: cmake make libicu-dev libuv1-dev zlib1g-dev Repository: https://okanbulut.r-universe.dev Date/Publication: 2023-02-28 03:13:15 UTC RemoteUrl: https://github.com/okanbulut/eirm RemoteRef: HEAD RemoteSha: 0fcc1588068a8d9ed60cf2c00ac018face655b00 NeedsCompilation: no Packaged: 2026-10-05 10:44:26 UTC; root Author: Okan Bulut [aut, cre] (ORCID: )